Overview

Dataset statistics

Number of variables34
Number of observations28288
Missing cells139890
Missing cells (%)14.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 MiB
Average record size in memory272.0 B

Variable types

NUM26
CAT5
BOOL3

Warnings

target has constant value "28288" Constant
f12 has a high cardinality: 222 distinct values High cardinality
f28 has a high cardinality: 190 distinct values High cardinality
id is highly correlated with df_indexHigh correlation
df_index is highly correlated with idHigh correlation
f14 is highly correlated with f10High correlation
f10 is highly correlated with f14High correlation
f0 has 19046 (67.3%) missing values Missing
f1 has 4070 (14.4%) missing values Missing
f2 has 4091 (14.5%) missing values Missing
f3 has 3751 (13.3%) missing values Missing
f4 has 4946 (17.5%) missing values Missing
f5 has 3517 (12.4%) missing values Missing
f6 has 3837 (13.6%) missing values Missing
f7 has 5012 (17.7%) missing values Missing
f9 has 3920 (13.9%) missing values Missing
f11 has 6514 (23.0%) missing values Missing
f12 has 865 (3.1%) missing values Missing
f13 has 5652 (20.0%) missing values Missing
f14 has 5589 (19.8%) missing values Missing
f15 has 5473 (19.3%) missing values Missing
f16 has 5524 (19.5%) missing values Missing
f17 has 6187 (21.9%) missing values Missing
f18 has 5296 (18.7%) missing values Missing
f19 has 3001 (10.6%) missing values Missing
f20 has 854 (3.0%) missing values Missing
f21 has 4061 (14.4%) missing values Missing
f22 has 7393 (26.1%) missing values Missing
f23 has 4360 (15.4%) missing values Missing
f24 has 5733 (20.3%) missing values Missing
f25 has 4674 (16.5%) missing values Missing
f26 has 5369 (19.0%) missing values Missing
f27 has 4442 (15.7%) missing values Missing
f28 has 800 (2.8%) missing values Missing
f29 has 4224 (14.9%) missing values Missing
f30 has 1507 (5.3%) missing values Missing
df_index has unique values Unique
id has unique values Unique
f2 has 10092 (35.7%) zeros Zeros
f6 has 1185 (4.2%) zeros Zeros
f9 has 18522 (65.5%) zeros Zeros
f10 has 14702 (52.0%) zeros Zeros
f14 has 12305 (43.5%) zeros Zeros
f17 has 3016 (10.7%) zeros Zeros
f19 has 4490 (15.9%) zeros Zeros
f23 has 1848 (6.5%) zeros Zeros
f25 has 1263 (4.5%) zeros Zeros
f27 has 2127 (7.5%) zeros Zeros

Reproduction

Analysis started2020-10-17 06:59:22.284452
Analysis finished2020-10-17 07:01:20.039442
Duration1 minute and 57.75 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct28288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24958.45599
Minimum1
Maximum49995
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:20.160046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2459.35
Q112346.75
median24923.5
Q337476.25
95-th percentile47538.65
Maximum49995
Range49994
Interquartile range (IQR)25129.5

Descriptive statistics

Standard deviation14450.99733
Coefficient of variation (CV)0.5790020558
Kurtosis-1.202479064
Mean24958.45599
Median Absolute Deviation (MAD)12569
Skewness0.002826404014
Sum706024803
Variance208831323.8
MonotocityStrictly increasing
2020-10-17T09:01:20.396336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20471< 0.1%
 
219201< 0.1%
 
259901< 0.1%
 
75611< 0.1%
 
14181< 0.1%
 
34671< 0.1%
 
157571< 0.1%
 
96141< 0.1%
 
116631< 0.1%
 
382961< 0.1%
 
Other values (28278)28278> 99.9%
 
ValueCountFrequency (%) 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
51< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
499951< 0.1%
 
499941< 0.1%
 
499931< 0.1%
 
499921< 0.1%
 
499911< 0.1%
 

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct28288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24958.45599
Minimum1
Maximum49995
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:20.623336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2459.35
Q112346.75
median24923.5
Q337476.25
95-th percentile47538.65
Maximum49995
Range49994
Interquartile range (IQR)25129.5

Descriptive statistics

Standard deviation14450.99733
Coefficient of variation (CV)0.5790020558
Kurtosis-1.202479064
Mean24958.45599
Median Absolute Deviation (MAD)12569
Skewness0.002826404014
Sum706024803
Variance208831323.8
MonotocityStrictly increasing
2020-10-17T09:01:20.852788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20471< 0.1%
 
219201< 0.1%
 
259901< 0.1%
 
75611< 0.1%
 
14181< 0.1%
 
34671< 0.1%
 
157571< 0.1%
 
96141< 0.1%
 
116631< 0.1%
 
382961< 0.1%
 
Other values (28278)28278> 99.9%
 
ValueCountFrequency (%) 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
51< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
499951< 0.1%
 
499941< 0.1%
 
499931< 0.1%
 
499921< 0.1%
 
499911< 0.1%
 

target
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size221.0 KiB
0
28288 
ValueCountFrequency (%) 
028288100.0%
 
2020-10-17T09:01:21.014979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

f0
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing19046
Missing (%)67.3%
Memory size221.0 KiB
0
6364 
1
2878 
(Missing)
19046 
ValueCountFrequency (%) 
0636422.5%
 
1287810.2%
 
(Missing)1904667.3%
 
2020-10-17T09:01:21.054771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

f1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing4070
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean2.957015443
Minimum0
Maximum5
Zeros30
Zeros (%)0.1%
Memory size221.0 KiB
2020-10-17T09:01:21.130035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.345599995
Coefficient of variation (CV)0.4550534217
Kurtosis-1.160633477
Mean2.957015443
Median Absolute Deviation (MAD)1
Skewness0.05402475445
Sum71613
Variance1.810639347
MonotocityNot monotonic
2020-10-17T09:01:21.299306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
3554319.6%
 
2551719.5%
 
4480217.0%
 
1422214.9%
 
5410414.5%
 
0300.1%
 
(Missing)407014.4%
 
ValueCountFrequency (%) 
0300.1%
 
1422214.9%
 
2551719.5%
 
3554319.6%
 
4480217.0%
 
ValueCountFrequency (%) 
5410414.5%
 
4480217.0%
 
3554319.6%
 
2551719.5%
 
1422214.9%
 

f2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing4091
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean1.748398562
Minimum0
Maximum5
Zeros10092
Zeros (%)35.7%
Memory size221.0 KiB
2020-10-17T09:01:21.461927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.725407588
Coefficient of variation (CV)0.9868502674
Kurtosis-1.24168701
Mean1.748398562
Median Absolute Deviation (MAD)2
Skewness0.403828263
Sum42306
Variance2.977031346
MonotocityNot monotonic
2020-10-17T09:01:21.630506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
01009235.7%
 
2608021.5%
 
4448115.8%
 
514665.2%
 
314075.0%
 
16712.4%
 
(Missing)409114.5%
 
ValueCountFrequency (%) 
01009235.7%
 
16712.4%
 
2608021.5%
 
314075.0%
 
4448115.8%
 
ValueCountFrequency (%) 
514665.2%
 
4448115.8%
 
314075.0%
 
2608021.5%
 
16712.4%
 

f3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing3751
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean3.041569874
Minimum0
Maximum5
Zeros1
Zeros (%)< 0.1%
Memory size221.0 KiB
2020-10-17T09:01:21.823259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.283907551
Coefficient of variation (CV)0.4221200248
Kurtosis-1.037330319
Mean3.041569874
Median Absolute Deviation (MAD)1
Skewness-0.1678932333
Sum74631
Variance1.648418598
MonotocityNot monotonic
2020-10-17T09:01:22.007082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
4665323.5%
 
3637122.5%
 
1410814.5%
 
2407414.4%
 
5333011.8%
 
01< 0.1%
 
(Missing)375113.3%
 
ValueCountFrequency (%) 
01< 0.1%
 
1410814.5%
 
2407414.4%
 
3637122.5%
 
4665323.5%
 
ValueCountFrequency (%) 
5333011.8%
 
4665323.5%
 
3637122.5%
 
2407414.4%
 
1410814.5%
 

f4
Real number (ℝ≥0)

MISSING

Distinct2481
Distinct (%)10.6%
Missing4946
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean924.3342901
Minimum31
Maximum4983
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:22.218808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile163
Q1370
median668
Q31142
95-th percentile2586
Maximum4983
Range4952
Interquartile range (IQR)772

Descriptive statistics

Standard deviation786.5083883
Coefficient of variation (CV)0.8508917139
Kurtosis2.552358898
Mean924.3342901
Median Absolute Deviation (MAD)347
Skewness1.641475922
Sum21575811
Variance618595.4449
MonotocityNot monotonic
2020-10-17T09:01:22.460330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3371700.6%
 
5941080.4%
 
4041060.4%
 
862990.3%
 
328900.3%
 
399900.3%
 
236880.3%
 
528880.3%
 
308860.3%
 
192860.3%
 
Other values (2471)2233178.9%
 
(Missing)494617.5%
 
ValueCountFrequency (%) 
311< 0.1%
 
564< 0.1%
 
67390.1%
 
73160.1%
 
746< 0.1%
 
ValueCountFrequency (%) 
49832< 0.1%
 
49633< 0.1%
 
48172< 0.1%
 
45021< 0.1%
 
42433< 0.1%
 

f5
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing3517
Missing (%)12.4%
Memory size221.0 KiB
F
12729 
M
12042 
ValueCountFrequency (%) 
F1272945.0%
 
M1204242.6%
 
(Missing)351712.4%
 
2020-10-17T09:01:22.700319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-17T09:01:22.850101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:22.968816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.248656674
Min length1

f6
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing3837
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean3.122939757
Minimum0
Maximum5
Zeros1185
Zeros (%)4.2%
Memory size221.0 KiB
2020-10-17T09:01:23.157045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.504953553
Coefficient of variation (CV)0.4819028449
Kurtosis-0.9532758136
Mean3.122939757
Median Absolute Deviation (MAD)1
Skewness-0.4052617073
Sum76359
Variance2.264885198
MonotocityNot monotonic
2020-10-17T09:01:23.351506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
4645922.8%
 
5534618.9%
 
3419514.8%
 
2394213.9%
 
1332411.8%
 
011854.2%
 
(Missing)383713.6%
 
ValueCountFrequency (%) 
011854.2%
 
1332411.8%
 
2394213.9%
 
3419514.8%
 
4645922.8%
 
ValueCountFrequency (%) 
5534618.9%
 
4645922.8%
 
3419514.8%
 
2394213.9%
 
1332411.8%
 

f7
Real number (ℝ)

MISSING

Distinct21924
Distinct (%)94.2%
Missing5012
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean-4.790413705
Minimum-22.7282
Maximum10.2583
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:23.556681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-22.7282
5-th percentile-13.649825
Q1-8.942325
median-4.8166
Q3-0.960275
95-th percentile4.839225
Maximum10.2583
Range32.9865
Interquartile range (IQR)7.98205

Descriptive statistics

Standard deviation5.602663819
Coefficient of variation (CV)-1.169557404
Kurtosis-0.3593514899
Mean-4.790413705
Median Absolute Deviation (MAD)3.99075
Skewness0.1461149849
Sum-111501.6694
Variance31.38984187
MonotocityNot monotonic
2020-10-17T09:01:23.767564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-3.03793< 0.1%
 
-9.93743< 0.1%
 
-2.40493< 0.1%
 
-1.67923< 0.1%
 
0.67583< 0.1%
 
-4.60283< 0.1%
 
-3.20063< 0.1%
 
-6.8583< 0.1%
 
-7.74733< 0.1%
 
-7.98213< 0.1%
 
Other values (21914)2324682.2%
 
(Missing)501217.7%
 
ValueCountFrequency (%) 
-22.72821< 0.1%
 
-22.00311< 0.1%
 
-21.9541< 0.1%
 
-21.69411< 0.1%
 
-21.48841< 0.1%
 
ValueCountFrequency (%) 
10.25831< 0.1%
 
10.23961< 0.1%
 
10.22981< 0.1%
 
10.17561< 0.1%
 
10.17471< 0.1%
 

f8
Real number (ℝ≥0)

Distinct7051
Distinct (%)25.0%
Missing80
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean14.22332814
Minimum13.7332
Maximum14.733
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:24.013356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13.7332
5-th percentile13.9332
Q114.098175
median14.2257
Q314.3605
95-th percentile14.481165
Maximum14.733
Range0.9998
Interquartile range (IQR)0.262325

Descriptive statistics

Standard deviation0.17102508
Coefficient of variation (CV)0.01202426593
Kurtosis-0.5968205305
Mean14.22332814
Median Absolute Deviation (MAD)0.1313
Skewness-0.2149929656
Sum401211.6402
Variance0.02924957798
MonotocityNot monotonic
2020-10-17T09:01:24.235206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14.1998410.1%
 
14.2001390.1%
 
14.1996380.1%
 
14.2380.1%
 
14.1997360.1%
 
14.1999360.1%
 
14.2002340.1%
 
14.2003340.1%
 
14.2005330.1%
 
14.2007330.1%
 
Other values (7041)2784698.4%
 
(Missing)800.3%
 
ValueCountFrequency (%) 
13.73321< 0.1%
 
13.7491< 0.1%
 
13.7681< 0.1%
 
13.76812< 0.1%
 
13.76871< 0.1%
 
ValueCountFrequency (%) 
14.7331< 0.1%
 
14.68631< 0.1%
 
14.67351< 0.1%
 
14.66311< 0.1%
 
14.65951< 0.1%
 

f9
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing3920
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean0.8542350624
Minimum0
Maximum5
Zeros18522
Zeros (%)65.5%
Memory size221.0 KiB
2020-10-17T09:01:24.424999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.671953948
Coefficient of variation (CV)1.957252777
Kurtosis1.235682044
Mean0.8542350624
Median Absolute Deviation (MAD)0
Skewness1.69244774
Sum20816
Variance2.795430005
MonotocityNot monotonic
2020-10-17T09:01:24.597200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
01852265.5%
 
523868.4%
 
313894.9%
 
27822.8%
 
16672.4%
 
46222.2%
 
(Missing)392013.9%
 
ValueCountFrequency (%) 
01852265.5%
 
16672.4%
 
27822.8%
 
313894.9%
 
46222.2%
 
ValueCountFrequency (%) 
523868.4%
 
46222.2%
 
313894.9%
 
27822.8%
 
16672.4%
 

f10
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct346
Distinct (%)1.2%
Missing102
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean17.04090683
Minimum0
Maximum1584
Zeros14702
Zeros (%)52.0%
Memory size221.0 KiB
2020-10-17T09:01:24.796399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316
95-th percentile86
Maximum1584
Range1584
Interquartile range (IQR)16

Descriptive statistics

Standard deviation41.11805278
Coefficient of variation (CV)2.412902857
Kurtosis129.1285674
Mean17.04090683
Median Absolute Deviation (MAD)0
Skewness7.272184318
Sum480315
Variance1690.694264
MonotocityNot monotonic
2020-10-17T09:01:25.010504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01470252.0%
 
15511.9%
 
25231.8%
 
65201.8%
 
34871.7%
 
44801.7%
 
74681.7%
 
84411.6%
 
54231.5%
 
103841.4%
 
Other values (336)920732.5%
 
ValueCountFrequency (%) 
01470252.0%
 
15511.9%
 
25231.8%
 
34871.7%
 
44801.7%
 
ValueCountFrequency (%) 
15841< 0.1%
 
9521< 0.1%
 
9241< 0.1%
 
8231< 0.1%
 
7201< 0.1%
 

f11
Real number (ℝ)

MISSING

Distinct13
Distinct (%)0.1%
Missing6514
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean8.318682833
Minimum-1
Maximum11
Zeros217
Zeros (%)0.8%
Memory size221.0 KiB
2020-10-17T09:01:25.208669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile4
Q17
median7
Q311
95-th percentile11
Maximum11
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.509813192
Coefficient of variation (CV)0.3017080038
Kurtosis-0.1817316289
Mean8.318682833
Median Absolute Deviation (MAD)3
Skewness-0.5515658918
Sum181131
Variance6.299162257
MonotocityNot monotonic
2020-10-17T09:01:26.961551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
11767527.1%
 
7643722.8%
 
622878.1%
 
1018586.6%
 
49423.3%
 
97652.7%
 
56762.4%
 
85522.0%
 
32280.8%
 
02170.8%
 
Other values (3)1370.5%
 
(Missing)651423.0%
 
ValueCountFrequency (%) 
-14< 0.1%
 
02170.8%
 
1500.2%
 
2830.3%
 
32280.8%
 
ValueCountFrequency (%) 
11767527.1%
 
1018586.6%
 
97652.7%
 
85522.0%
 
7643722.8%
 

f12
Categorical

HIGH CARDINALITY
MISSING

Distinct222
Distinct (%)0.8%
Missing865
Missing (%)3.1%
Memory size221.0 KiB
ba9faf5b1
 
268
a7059911d
 
250
8781919c2
 
250
8da514edb
 
235
c79d2197d
 
235
Other values (217)
26185 
ValueCountFrequency (%) 
ba9faf5b12680.9%
 
a7059911d2500.9%
 
8781919c22500.9%
 
8da514edb2350.8%
 
c79d2197d2350.8%
 
4291140962340.8%
 
3d9d8f5262340.8%
 
6239082962340.8%
 
86ec768cd2340.8%
 
4ae48e8572300.8%
 
Other values (212)2501988.4%
 
(Missing)8653.1%
 
2020-10-17T09:01:27.251248image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-17T09:01:27.497283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length9
Median length9
Mean length8.816529977
Min length3

f13
Real number (ℝ)

MISSING

Distinct98
Distinct (%)0.4%
Missing5652
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean42.58976851
Minimum-5
Maximum97
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:27.715060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-5
5-th percentile16
Q130
median41
Q355
95-th percentile72
Maximum97
Range102
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.06763348
Coefficient of variation (CV)0.4007449225
Kurtosis-0.6760177671
Mean42.58976851
Median Absolute Deviation (MAD)13
Skewness0.1931586954
Sum964062
Variance291.3041127
MonotocityNot monotonic
2020-10-17T09:01:27.960541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
365141.8%
 
315091.8%
 
345011.8%
 
334961.8%
 
294831.7%
 
324811.7%
 
374741.7%
 
304741.7%
 
384691.7%
 
394681.7%
 
Other values (88)1776762.8%
 
(Missing)565220.0%
 
ValueCountFrequency (%) 
-51< 0.1%
 
-12< 0.1%
 
11< 0.1%
 
24< 0.1%
 
39< 0.1%
 
ValueCountFrequency (%) 
971< 0.1%
 
961< 0.1%
 
942< 0.1%
 
931< 0.1%
 
925< 0.1%
 

f14
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct320
Distinct (%)1.4%
Missing5589
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean16.36521433
Minimum0
Maximum1592
Zeros12305
Zeros (%)43.5%
Memory size221.0 KiB
2020-10-17T09:01:28.179363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile83.1
Maximum1592
Range1592
Interquartile range (IQR)15

Descriptive statistics

Standard deviation40.97763799
Coefficient of variation (CV)2.50394753
Kurtosis157.7257239
Mean16.36521433
Median Absolute Deviation (MAD)0
Skewness8.020570134
Sum371474
Variance1679.166815
MonotocityNot monotonic
2020-10-17T09:01:28.417307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01230543.5%
 
16272.2%
 
24521.6%
 
34301.5%
 
43941.4%
 
53581.3%
 
63431.2%
 
73061.1%
 
92871.0%
 
82670.9%
 
Other values (310)693024.5%
 
(Missing)558919.8%
 
ValueCountFrequency (%) 
01230543.5%
 
16272.2%
 
24521.6%
 
34301.5%
 
43941.4%
 
ValueCountFrequency (%) 
15921< 0.1%
 
9301< 0.1%
 
9211< 0.1%
 
8531< 0.1%
 
7481< 0.1%
 

f15
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing5473
Missing (%)19.3%
Memory size221.0 KiB
C
11723 
A
6172 
B
4920 
ValueCountFrequency (%) 
C1172341.4%
 
A617221.8%
 
B492017.4%
 
(Missing)547319.3%
 
2020-10-17T09:01:28.655278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-17T09:01:28.806648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:28.919261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.386948529
Min length1

f16
Real number (ℝ≥0)

MISSING

Distinct13355
Distinct (%)58.7%
Missing5524
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean0.8100479401
Minimum0.3315378642
Maximum2.741063617
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:29.122797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.3315378642
5-th percentile0.5426471313
Q10.6693365092
median0.7638162667
Q30.9037090697
95-th percentile1.229975109
Maximum2.741063617
Range2.409525753
Interquartile range (IQR)0.2343725605

Descriptive statistics

Standard deviation0.222314095
Coefficient of variation (CV)0.2744456026
Kurtosis5.265892283
Mean0.8100479401
Median Absolute Deviation (MAD)0.1135351584
Skewness1.680930858
Sum18439.93131
Variance0.04942355686
MonotocityNot monotonic
2020-10-17T09:01:29.343196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6927755889200.1%
 
0.6745828218200.1%
 
0.6732798713170.1%
 
0.6796936597170.1%
 
0.6875366256170.1%
 
0.6595609609160.1%
 
0.7964150046160.1%
 
0.7117229705160.1%
 
0.8085289162150.1%
 
0.6981972063150.1%
 
Other values (13345)2259579.9%
 
(Missing)552419.5%
 
ValueCountFrequency (%) 
0.33153786421< 0.1%
 
0.34611181491< 0.1%
 
0.34694653891< 0.1%
 
0.35023604791< 0.1%
 
0.35100210731< 0.1%
 
ValueCountFrequency (%) 
2.7410636171< 0.1%
 
2.7072751691< 0.1%
 
2.6039028241< 0.1%
 
2.554165291< 0.1%
 
2.4608966651< 0.1%
 

f17
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing6187
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean2.843943713
Minimum0
Maximum5
Zeros3016
Zeros (%)10.7%
Memory size221.0 KiB
2020-10-17T09:01:29.528040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.747587372
Coefficient of variation (CV)0.6144943601
Kurtosis-1.195496884
Mean2.843943713
Median Absolute Deviation (MAD)2
Skewness-0.2786451792
Sum62854
Variance3.054061623
MonotocityNot monotonic
2020-10-17T09:01:29.701396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3748526.5%
 
5582220.6%
 
1394113.9%
 
0301610.7%
 
418376.5%
 
(Missing)618721.9%
 
ValueCountFrequency (%) 
0301610.7%
 
1394113.9%
 
3748526.5%
 
418376.5%
 
5582220.6%
 
ValueCountFrequency (%) 
5582220.6%
 
418376.5%
 
3748526.5%
 
1394113.9%
 
0301610.7%
 

f18
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing5296
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean3.38243737
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:29.876611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.176152131
Coefficient of variation (CV)0.3477232547
Kurtosis-0.6304924351
Mean3.38243737
Median Absolute Deviation (MAD)1
Skewness-0.4336622985
Sum77769
Variance1.383333835
MonotocityNot monotonic
2020-10-17T09:01:30.051493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
4774327.4%
 
3599021.2%
 
5409114.5%
 
2320411.3%
 
119646.9%
 
(Missing)529618.7%
 
ValueCountFrequency (%) 
119646.9%
 
2320411.3%
 
3599021.2%
 
4774327.4%
 
5409114.5%
 
ValueCountFrequency (%) 
5409114.5%
 
4774327.4%
 
3599021.2%
 
2320411.3%
 
119646.9%
 

f19
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing3001
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.049274331
Minimum0
Maximum5
Zeros4490
Zeros (%)15.9%
Memory size221.0 KiB
2020-10-17T09:01:30.231885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.849307993
Coefficient of variation (CV)0.6064747847
Kurtosis-1.131535662
Mean3.049274331
Median Absolute Deviation (MAD)2
Skewness-0.5415588416
Sum77107
Variance3.419940053
MonotocityNot monotonic
2020-10-17T09:01:30.401342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
5801428.3%
 
3640322.6%
 
0449015.9%
 
4381613.5%
 
125649.1%
 
(Missing)300110.6%
 
ValueCountFrequency (%) 
0449015.9%
 
125649.1%
 
3640322.6%
 
4381613.5%
 
5801428.3%
 
ValueCountFrequency (%) 
5801428.3%
 
4381613.5%
 
3640322.6%
 
125649.1%
 
0449015.9%
 

f20
Categorical

MISSING

Distinct26
Distinct (%)0.1%
Missing854
Missing (%)3.0%
Memory size221.0 KiB
N
 
1869
A
 
1759
P
 
1750
Y
 
1714
U
 
1591
Other values (21)
18751 
ValueCountFrequency (%) 
N18696.6%
 
A17596.2%
 
P17506.2%
 
Y17146.1%
 
U15915.6%
 
R15735.6%
 
M15595.5%
 
X15545.5%
 
C14825.2%
 
H14585.2%
 
Other values (16)1112539.3%
 
2020-10-17T09:01:30.613563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-17T09:01:30.830114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.060378959
Min length1

f21
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing4061
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean2.977958476
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:31.044545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.195844193
Coefficient of variation (CV)0.4015651
Kurtosis-0.8462422084
Mean2.977958476
Median Absolute Deviation (MAD)1
Skewness-0.1292170841
Sum72147
Variance1.430043335
MonotocityNot monotonic
2020-10-17T09:01:31.230979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3772427.3%
 
4614421.7%
 
2430815.2%
 
1361812.8%
 
524338.6%
 
(Missing)406114.4%
 
ValueCountFrequency (%) 
1361812.8%
 
2430815.2%
 
3772427.3%
 
4614421.7%
 
524338.6%
 
ValueCountFrequency (%) 
524338.6%
 
4614421.7%
 
3772427.3%
 
2430815.2%
 
1361812.8%
 

f22
Real number (ℝ≥0)

MISSING

Distinct7102
Distinct (%)34.0%
Missing7393
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean14.02510853
Minimum13.4952
Maximum14.6456
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:31.467243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13.4952
5-th percentile13.698
Q113.8948
median14.0264
Q314.1669
95-th percentile14.32863
Maximum14.6456
Range1.1504
Interquartile range (IQR)0.2721

Descriptive statistics

Standard deviation0.1913138258
Coefficient of variation (CV)0.01364080894
Kurtosis-0.3527037798
Mean14.02510853
Median Absolute Deviation (MAD)0.1357
Skewness-0.1414167224
Sum293054.6427
Variance0.03660097996
MonotocityNot monotonic
2020-10-17T09:01:31.708998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13.5545240.1%
 
13.5543210.1%
 
13.5542210.1%
 
13.5546200.1%
 
13.5548150.1%
 
13.554113< 0.1%
 
13.554413< 0.1%
 
14.152612< 0.1%
 
13.916711< 0.1%
 
14.137111< 0.1%
 
Other values (7092)2073473.3%
 
(Missing)739326.1%
 
ValueCountFrequency (%) 
13.49521< 0.1%
 
13.52951< 0.1%
 
13.53431< 0.1%
 
13.54171< 0.1%
 
13.54281< 0.1%
 
ValueCountFrequency (%) 
14.64561< 0.1%
 
14.58911< 0.1%
 
14.57071< 0.1%
 
14.55751< 0.1%
 
14.55591< 0.1%
 

f23
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing4360
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean2.377507523
Minimum0
Maximum5
Zeros1848
Zeros (%)6.5%
Memory size221.0 KiB
2020-10-17T09:01:31.917986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328215563
Coefficient of variation (CV)0.5586588268
Kurtosis-0.5204409672
Mean2.377507523
Median Absolute Deviation (MAD)1
Skewness0.193769081
Sum56889
Variance1.764156582
MonotocityNot monotonic
2020-10-17T09:01:32.108371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
2722425.5%
 
3592220.9%
 
1432315.3%
 
427039.6%
 
519086.7%
 
018486.5%
 
(Missing)436015.4%
 
ValueCountFrequency (%) 
018486.5%
 
1432315.3%
 
2722425.5%
 
3592220.9%
 
427039.6%
 
ValueCountFrequency (%) 
519086.7%
 
427039.6%
 
3592220.9%
 
2722425.5%
 
1432315.3%
 

f24
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing5733
Missing (%)20.3%
Infinite0
Infinite (%)0.0%
Mean2.879095544
Minimum0
Maximum5
Zeros119
Zeros (%)0.4%
Memory size221.0 KiB
2020-10-17T09:01:32.290980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.183435029
Coefficient of variation (CV)0.411044028
Kurtosis-0.6197312689
Mean2.879095544
Median Absolute Deviation (MAD)1
Skewness-0.02878692815
Sum64938
Variance1.400518469
MonotocityNot monotonic
2020-10-17T09:01:32.471121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
3861530.5%
 
2409314.5%
 
4405314.3%
 
1342012.1%
 
522558.0%
 
01190.4%
 
(Missing)573320.3%
 
ValueCountFrequency (%) 
01190.4%
 
1342012.1%
 
2409314.5%
 
3861530.5%
 
4405314.3%
 
ValueCountFrequency (%) 
522558.0%
 
4405314.3%
 
3861530.5%
 
2409314.5%
 
1342012.1%
 

f25
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing4674
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean2.337723384
Minimum0
Maximum5
Zeros1263
Zeros (%)4.5%
Memory size221.0 KiB
2020-10-17T09:01:32.645021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.310765733
Coefficient of variation (CV)0.5607018099
Kurtosis-0.8308904545
Mean2.337723384
Median Absolute Deviation (MAD)1
Skewness0.2007309742
Sum55203
Variance1.718106806
MonotocityNot monotonic
2020-10-17T09:01:32.815496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
1641822.7%
 
3587920.8%
 
2517318.3%
 
4360312.7%
 
512784.5%
 
012634.5%
 
(Missing)467416.5%
 
ValueCountFrequency (%) 
012634.5%
 
1641822.7%
 
2517318.3%
 
3587920.8%
 
4360312.7%
 
ValueCountFrequency (%) 
512784.5%
 
4360312.7%
 
3587920.8%
 
2517318.3%
 
1641822.7%
 

f26
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing5369
Missing (%)19.0%
Memory size221.0 KiB
1
17211 
0
5708 
(Missing)
5369 
ValueCountFrequency (%) 
11721160.8%
 
0570820.2%
 
(Missing)536919.0%
 
2020-10-17T09:01:32.912431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

f27
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing4442
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean3.544326092
Minimum0
Maximum5
Zeros2127
Zeros (%)7.5%
Memory size221.0 KiB
2020-10-17T09:01:32.987820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.798821255
Coefficient of variation (CV)0.5075213759
Kurtosis-1.005157505
Mean3.544326092
Median Absolute Deviation (MAD)0
Skewness-0.7391659148
Sum84518
Variance3.235757908
MonotocityNot monotonic
2020-10-17T09:01:33.129971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
51280045.2%
 
2432315.3%
 
021277.5%
 
119126.8%
 
419086.7%
 
37762.7%
 
(Missing)444215.7%
 
ValueCountFrequency (%) 
021277.5%
 
119126.8%
 
2432315.3%
 
37762.7%
 
419086.7%
 
ValueCountFrequency (%) 
51280045.2%
 
419086.7%
 
37762.7%
 
2432315.3%
 
119126.8%
 

f28
Categorical

HIGH CARDINALITY
MISSING

Distinct190
Distinct (%)0.7%
Missing800
Missing (%)2.8%
Memory size221.0 KiB
Fl
 
507
DN
 
451
Sz
 
411
oJ
 
281
vq
 
278
Other values (185)
25560 
ValueCountFrequency (%) 
Fl5071.8%
 
DN4511.6%
 
Sz4111.5%
 
oJ2811.0%
 
vq2781.0%
 
RV2741.0%
 
RD2630.9%
 
GZ2630.9%
 
DR2570.9%
 
be2560.9%
 
Other values (180)2424785.7%
 
(Missing)8002.8%
 
2020-10-17T09:01:33.308534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
2020-10-17T09:01:33.473789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length2.028280543
Min length2

f29
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing4224
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean4.04026762
Minimum0
Maximum5
Zeros167
Zeros (%)0.6%
Memory size221.0 KiB
2020-10-17T09:01:33.592977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.457910519
Coefficient of variation (CV)0.3608450372
Kurtosis-0.5258625748
Mean4.04026762
Median Absolute Deviation (MAD)0
Skewness-1.050846065
Sum97225
Variance2.125503083
MonotocityNot monotonic
2020-10-17T09:01:33.723567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
51619357.2%
 
2396814.0%
 
317066.0%
 
116385.8%
 
43921.4%
 
01670.6%
 
(Missing)422414.9%
 
ValueCountFrequency (%) 
01670.6%
 
116385.8%
 
2396814.0%
 
317066.0%
 
43921.4%
 
ValueCountFrequency (%) 
51619357.2%
 
43921.4%
 
317066.0%
 
2396814.0%
 
116385.8%
 

f30
Real number (ℝ)

MISSING

Distinct3720
Distinct (%)13.9%
Missing1507
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean0.5535348226
Minimum-1
Maximum2.863564213
Zeros0
Zeros (%)0.0%
Memory size221.0 KiB
2020-10-17T09:01:33.896068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10.5273755777
median0.7245688373
Q30.9987492178
95-th percentile1.545760331
Maximum2.863564213
Range3.863564213
Interquartile range (IQR)0.4713736401

Descriptive statistics

Standard deviation0.7916066196
Coefficient of variation (CV)1.430093622
Kurtosis0.1153021584
Mean0.5535348226
Median Absolute Deviation (MAD)0.2314917642
Skewness-1.018725481
Sum14824.21608
Variance0.6266410401
MonotocityNot monotonic
2020-10-17T09:01:34.122401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-1481517.0%
 
0.6339361167350.1%
 
0.5711829829330.1%
 
0.6800735254330.1%
 
0.5728219619330.1%
 
0.616948134320.1%
 
0.7344215411320.1%
 
0.5755432217310.1%
 
0.7318640584310.1%
 
0.6571719714300.1%
 
Other values (3710)2167676.6%
 
(Missing)15075.3%
 
ValueCountFrequency (%) 
-1481517.0%
 
0.15411035011< 0.1%
 
0.19685019691< 0.1%
 
0.2462214453< 0.1%
 
0.25617376912< 0.1%
 
ValueCountFrequency (%) 
2.8635642132< 0.1%
 
2.8508770581< 0.1%
 
2.6878197483< 0.1%
 
2.6040833322< 0.1%
 
2.539685021< 0.1%
 

Interactions

2020-10-17T08:59:29.956504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:30.097768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:30.236655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:30.370088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:30.505114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:30.651101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:30.785839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:30.922094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:31.062191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:31.210112image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:31.343439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:31.481880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:31.616372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:31.747805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:31.886571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:32.060498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:32.219337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:32.388909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:32.543321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:32.731414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:32.916888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:33.088174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:33.258000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:33.421316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:33.563502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:33.740625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:33.985889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:34.123175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:34.266352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:34.401829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:34.537039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:34.685014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:34.830577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:34.969101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:35.109696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:35.257593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:35.391885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:35.531537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:35.666255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:35.797836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:35.941509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:36.072109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:36.205326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:36.350829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:36.526916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:36.693885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:36.850390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:37.020686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:37.205287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:37.382548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:37.535233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:37.687492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:37.881678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:38.018916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:38.154919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:38.302104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:38.435088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:38.581980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:38.716041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:38.853700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:38.993714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:39.144698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:39.280573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:39.419230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:39.553207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:39.682157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:39.820221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:39.951063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:40.084207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:40.229002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:40.361563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:40.508410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:40.640933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:40.831091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:40.997570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:41.149906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:41.302218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:41.476435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:41.673223image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:41.828671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:41.991652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:42.153127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:42.293034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:42.438557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:42.572481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:42.712738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:42.853834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:43.001127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:43.133837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:43.271128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:43.404253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:43.534526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:43.672582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:43.826310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:43.963525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:44.108723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:44.254701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:44.402979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:44.536808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:44.682465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:44.831201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:44.964746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:45.101792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:45.286879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:45.448771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:45.626477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:45.806835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:45.990283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:46.162482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:46.351783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:46.528628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:46.679048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:46.834373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:47.009987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:47.160098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:47.315807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:47.481640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:47.628866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:47.783806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:47.932909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:48.086070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:48.249069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:48.399723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:48.562783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:48.711545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:48.876936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:49.039361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:49.189293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:49.340585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:49.529175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:49.712168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:49.867663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:50.023874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:50.197747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:50.388777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:50.554523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:50.708064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:50.876873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:51.014191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:51.162057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:51.294236image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:51.439300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:51.572414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:51.701237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:51.839450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:51.969935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:52.107419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:52.252249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:52.386849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:52.532274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:52.663635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:52.808658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:52.955106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:53.088357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:53.224495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:53.356880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:53.498588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:53.634508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:53.780299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:53.956755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:54.107542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:54.271897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:54.428520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:54.596642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:54.753029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:54.926205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:55.080069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:55.243478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T08:59:55.376816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-17T09:01:01.262251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:01.399888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:01.547394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:01.691179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:01.829059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:01.962244image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:02.096983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:02.234918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:02.367444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:02.500963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:02.648363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:02.781865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:02.930794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:03.063119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:03.209222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:03.356019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:03.492404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:03.625518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:03.758401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:03.915080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:04.051820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:04.236064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:04.386129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:04.541881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:04.706360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:04.885833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:05.037222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:05.197076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:05.362729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:05.514425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:05.651587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:05.784714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:05.921378image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:06.063632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:06.194869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:06.327988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:06.474152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:06.607185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:06.752311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:06.885061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:07.031800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:07.177906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:07.311390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:07.449631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:07.601530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:07.744998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:07.886404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:08.022888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:08.156190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:08.289984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:08.462337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:08.626347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:08.777465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:08.933055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:09.102257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:09.265273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:09.421975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:09.575365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:09.726259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:09.882670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:10.015322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:10.149864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:10.306966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:10.441039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:10.586944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:10.718939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:10.865744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:11.011267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:11.143955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:11.277874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:11.416770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:11.558908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:11.707405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:11.856439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:12.002689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:12.154089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:12.313698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:12.463645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:12.610763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:12.783645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:12.983391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:13.148919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:13.323032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:13.505016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:13.665909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:13.846987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:14.016684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:14.181562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:14.340150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:14.487566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:14.661442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:14.805019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:14.964548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:15.126186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:15.273138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:15.420200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:15.567220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-17T09:01:34.378875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-17T09:01:34.765679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-17T09:01:35.155271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-17T09:01:35.548504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-10-17T09:01:35.941334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2020-10-17T09:01:16.000806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:17.897858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:19.121049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-17T09:01:19.711606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

df_indexidtargetf0f1f2f3f4f5f6f7f8f9f10f11f12f13f14f15f16f17f18f19f20f21f22f23f24f25f26f27f28f29f30
0110NaN5.04.0NaN2072.0NaN4.0-1.666214.02420.00.07.0e06abf51fNaN0.0NaN0.6167430.02.05.0N3.0NaN2.03.0NaN1.05.0DT5.00.686021
12201.01.04.02.0862.0M3.0-0.120014.21740.032.010.05d1ac776040.0NaNA0.7113893.04.05.0PNaNNaN2.02.03.01.02.0vq5.01.141271
2330NaNNaN2.01.0409.0F5.0-16.216913.85360.00.07.0b0ab8b13463.06.0ANaN4.0NaN1.0K5.0NaN2.01.05.01.00.0Bx5.00.662382
3550NaN2.02.02.0190.0FNaN-12.591914.30620.00.011.0018382adfNaN6.0A0.6672361.05.00.0A2.0NaNNaN4.03.01.00.0mX3.00.749583
410100NaN2.02.02.0406.0F4.0-1.785114.12450.012.011.0b2151e2cd33.014.0B1.0140953.04.03.0XNaN13.98052.0NaN4.0NaN2.0gj5.01.022864
511110NaN2.02.05.0936.0M3.0-4.909114.36201.017.0NaNNaN56.0NaNA0.7208815.03.00.0QNaN14.16812.01.03.01.02.0cy2.00.553399
6141400.0NaNNaN2.02475.0M1.0-5.745114.23400.019.010.0088aace2d61.08.0CNaN4.0NaN4.0X1.0NaN2.0NaNNaN1.04.0Sz5.00.915833
7151500.03.04.04.0240.0M2.0-8.601614.20175.0524.0NaNa42fb996917.0NaNB0.9029914.01.00.0R2.014.17973.02.01.01.02.0PS4.01.467566
816160NaN1.00.04.0261.0F5.0-2.183914.1426NaN0.011.0833d88c6c30.00.0C0.8177403.04.03.0F4.0NaN3.0NaN3.01.05.0rl5.01.469056
918180NaN4.00.03.0692.0FNaN-9.832614.38040.00.011.0857cbf8c777.0NaNB0.6839361.05.00.0P2.013.99193.03.03.01.05.0rMNaN-1.000000

Last rows

df_indexidtargetf0f1f2f3f4f5f6f7f8f9f10f11f12f13f14f15f16f17f18f19f20f21f22f23f24f25f26f27f28f29f30
28278499844998400.04.04.01.0272.0M3.0NaN14.03100.024.07.0190522cfb49.0NaNA0.8398640.0NaN0.0NaN2.014.36424.02.0NaN0.02.0Dj5.0-1.000000
28279499854998500.04.00.02.0228.0NaN2.0-5.793614.29800.00.07.0362507ea544.00.0B0.7524074.01.00.0H2.014.09023.01.02.0NaN1.0IS5.00.664267
2828049987499870NaN2.04.02.0NaNM3.0NaN14.4134NaN25.010.0833d88c6c43.031.0A0.816362NaN4.0NaNE3.0NaN1.02.03.01.02.0cYNaN0.504975
2828149988499880NaN2.00.01.0102.0M5.0-9.961314.45010.00.011.07e1c4cff139.00.0CNaN4.01.00.0C2.014.4314NaN2.04.00.05.0pB5.00.679154
2828249990499900NaNNaN2.02.0337.0M4.0-5.246714.44120.00.010.0ba9faf5b123.05.0NaN0.7143921.05.00.0P2.014.32402.03.02.0NaN0.0TL5.00.478931
2828349991499910NaN3.03.04.01171.0M3.0-7.072714.42940.0117.011.08402256f632.0NaNA0.6534405.03.0NaNA3.0NaN1.03.03.0NaN2.0pTNaN0.844837
28284499924999201.04.0NaNNaN134.0FNaN-10.257114.26130.00.011.0623908296NaN0.0NaN1.2302325.03.04.0YNaN13.86480.0NaNNaN1.05.0TP1.00.933073
2828549993499930NaN1.01.0NaN1121.0M4.09.133814.1715NaN75.07.04617418f251.044.0C0.866872NaN4.03.0Q4.013.95395.03.04.01.02.0us5.00.902081
2828649994499940NaNNaN4.0NaN2669.0M1.0NaN14.37255.00.0NaNba9faf5b132.00.0C0.6468613.04.03.0PNaN14.00880.02.0NaN1.05.0wa2.00.563471
28287499954999500.0NaN0.03.0NaNF2.0-11.386314.19770.013.011.00da2378c830.00.0B1.0296835.03.03.0N4.014.04663.04.02.00.05.0Fl5.00.890576